Columbia

Principal Data Scientist

Portland, Oregon, United States of America · Principal · Full-time

Sponsorship not specifiedDetected 30 days ago

PythonAlgorithmsSQLMachine LearningData EngineeringData ScienceData VisualizationStatisticsSupply ChainSASCommunication

About the role

Conduct exploratory data analyses and data mining to understand underlying patterns, trends and behavior to highlight opportunities through data to significantly improve business performance across brands, regions, and channels
Audit existing analytical processes and provide guidance on implementing advanced machine learning capabilities according to industry standards
Translate analytical findings and statistical models into measures of business impact and actionable recommendations

OUTGROWN YOUR OWN BACKYARD?
Collaborate with other members of the D&A team and business partners in translating business requirements that can be answered with advanced analytics
Drive best practices in applying and deploying Data Science at scale
Able to work and collaborate with cross functional teams, including IT, and manage partner expectations

A strong communicator that can demonstrate an ability to work with all ranges of an organization to advance Columbia's Data Science practice.
Minimum 3 years of experience as a Data Scientist, Statistician or related position

Minimum Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering or other relevant quantitative field, with a Graduate degree strongly preferred
Proficient in the use of visualization tools, Power BI preferred
Experience with Microsoft Stack preferred

Solid time-management skills and able to work on multiple tasks or projects concurrently
Strong interpersonal, written, communication and relationship-building skills
Highly proficient in SQL and other statistical programming languages, e.g., R, Python, SAS

We have extensive wellness benefits, employee discounts and a generous time off program available.
Design and build scalable models that leverage best-in-class statistical and machine learning techniques to be integrated into analytics workflows across the business
Collaborate with Data Engineers to validate source data and develop data pipelines that feed into machine learning workflows

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We believe in empowering people to experience the outdoors to the fullest.
And we believe in you.

If you need an accommodation/adjustment to successfully complete and submit your application, please reach out to AskHR@columbia.com with the

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